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Record W275774545

Crime and Mercies

2000· article· en· W275774545 on OpenAlexaboutno aff
Dwight D. Murphey

Bibliographic record

Venue˜The œJournal of social, political, and economic studies · 2000
Typearticle
Languageen
FieldArts and Humanities
TopicHistorical and Contemporary Political Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHistoriographyMythologyHistoryWorld War IIGermanFamineLawPolitical scienceClassics
DOInot available

Abstract

fetched live from OpenAlex

Crimes and Mercies James Bacque Little, Brown and Company (Canada) Limited, 1997 At least 9.3 million Germans died needlessly soon after (World War II], great majority because of conditions imposed by four major victors, according to historian James Basque in a sequel to his earlier book Other Losses. The figure may go as high as 13.7 million. Does anyone care? The myths that survive in Western public opinion and within prevailing intellectual culture seem impenetrable. Basque's is latest of several learned books, including those by Alfred-Maurice de Zayas and Victor Gollancz, that have appeared in recent decades about atrocities committed against German civilians and prisoners of war in 1945 and for five years thereafter. A reason for yet another book is that Basque has had benefit; as those who preceded him have not, of KGB archives in Moscow. The opening of Soviet archives has been a source of illimitable information for those seeking to understand twentieth century. Another reason, of course, is that world has largely ignored earlier books. Serious scholars will need to repeat again and again many facts that are required to give perspective and balance to understanding of history. Otherwise, myth and prejudiced selectivity will remain as permanent historiography of our age. The title Crimes and Mercies reflects Basque's desire to remind us that, along with atrocities, some wonderfully humane things were done (hence, mercies). There was potential famine in many parts of world at end of war, precipitating a concerted effort especially by United States, Canada, Australia and Argentina. It is an amazing figure, but former U.S. president Herbert Hoover, who spent much of his adult life in food relief, estimated that as many as 800 million lives were saved. The post-war atrocities committed against Germans took a grisly toll on three categories of people: residents of occupied Germany, of whom 5.7 million are said to have died; 15 million who were expelled from eastern lands and forced west toward what later became West Germany, of whom anywhere from 2.1 to 6.0 million died (it was Konrad Adenauer who put figure at 6 million); and prisoners of war, of whom from 1.5 to 2.0 million died. The residents of occupied Germany. For a considerable period after end of war in May 1945, German people were subjected to conditions despite an abundance of available food. Germans speak of 1947 as Hungerjahr. Red Cross food trains were sent back to Switzerland; all foreign governments were denied permission to send food; fertilizer production was sharply reduced; such food as there was was even confiscated, especially in French zone; and fishing fleet was kept in port. In 1945, Mennonites were forbidden to send food to their co-religionists in Germany. The taking of eastern Prussia to make it a part of Poland deprived Germany of 25 percent of its arable land. What finally assured prolonged of Germans was enforced reduction of BacQue says. The Morgenthau Plan to reduce Germany to an industrial wasteland was said to have been cancelled, but it wasn't. By autumn 1945, industrial production was deliberately reduced to around 25-30 percent of pre-war levels, even though war itself, with all its bombing, had hardly affected German industry, which at end of war still had 80-85 percent of its plant intact. The dismantlement of German industry was still continuing, indeed rising, in 1949, which saw removal of all or part of 268 factories. In January 1947 allotted daily ration per person in French zone was 450 calories, whereas health experts say that from 2 to 3 thousand calories are needed for good health. Influential American senators such as Taft, LaFollette and Wherry protested the deliberate and wholesale mass starvation in American, British and French canes of occupation. …

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.855
Threshold uncertainty score0.607

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.053
GPT teacher head0.266
Teacher spread0.213 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2000
Admission routes1
Has abstractyes

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